Add multi-platform export generator (single source of truth)

Make the library multi-platform without duplicating content. Each skills/<name>/SKILL.md body remains the single source of truth; a new generator renders platform-ready exports from it. - scripts/build-exports.mjs — dependency-free Node generator with a PLATFORMS registry so new platforms (Gemini, Cursor, …) are a few lines. Ships ChatGPT exports at exports/chatgpt/<bundle>/<skill>/SYSTEM_PROMPT.md (172 skills), plus generated index READMEs. Supports --platform and --check. - exports/ — generated ChatGPT system prompts, ready to paste into a Custom GPT. - .github/workflows/check-generated.yml — fails a PR if exports or web/skills.json drift from the source skills. - README "Works With" now documents the ready-to-use exports and regen command. - CHANGELOG + SKILL-AUTHORING-STANDARD note the generated artifacts. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_016JWn5jRD5tcEFKrubjQ6Px
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+# Feature Prioritisation Skill
+
+Apply the right prioritisation framework to any backlog and produce a clear, defensible ranking with rationale — not just a sorted list.
+
+## Required Inputs
+
+Ask the user for these if not provided:
+- **List of features or initiatives to prioritise**
+- **Goal or metric** being prioritised against (OKR, launch, sprint)
+- **Preferred framework** (or recommend based on context below)
+- **Team data**: reach estimates, effort estimates, velocity (for RICE)
+
+## Framework Selection Guide
+
+Ask the user which framework they prefer, or recommend based on context:
+
+| Situation | Recommended Framework |
+|---|---|
+| Need a quick, data-driven score | RICE |
+| Stakeholder alignment meeting | MoSCoW |
+| Understanding customer delight vs expectations | Kano |
+| Early-stage startup, fast decisions | ICE |
+| Identifying underserved customer needs | Opportunity Scoring |
+| Strategic portfolio decisions | Value vs Effort Matrix |
+
+---
+
+## RICE Scoring
+
+**Formula:** (Reach × Impact × Confidence) ÷ Effort
+
+| Factor | Definition | Scale |
+|---|---|---|
+| Reach | Users impacted per quarter | Actual number |
+| Impact | Effect on goal per user | 0.25 / 0.5 / 1 / 2 / 3 |
+| Confidence | How certain are you? | 50% / 80% / 100% |
+| Effort | Person-months required | Actual number |
+
+Output table:
+| Feature | Reach | Impact | Confidence | Effort | RICE Score | Priority |
+|---|---|---|---|---|---|---|
+
+---
+
+## MoSCoW Method
+
+Categorise each feature as:
+- **Must Have** — non-negotiable for launch/sprint; product fails without it
+- **Should Have** — important but not critical; workarounds exist
+- **Could Have** — nice to have; include only if time allows
+- **Won't Have (this time)** — explicitly out of scope now; may revisit
+
+Always ask: "Must have for *what*?" — define the scope (launch, sprint, quarter) before categorising.
+
+---
+
+## ICE Scoring (Startup/fast mode)
+
+**Formula:** Impact + Confidence + Ease (each 1–10)
+
+Quick, subjective — good for early decisions before data exists.
+
+---
+
+## Kano Model
+
+Classify features into:
+- **Basic (Must-be):** Expected; absence causes dissatisfaction
+- **Performance:** More = better satisfaction; linear relationship
+- **Excitement (Delighters):** Unexpected; creates delight; absence is neutral
+- **Indifferent:** Users don't care either way
+- **Reverse:** Some users want it, others don't
+
+Recommend building: all Basic features first → Performance features for key use cases → 1–2 Excitement features per release.
+
+---
+
+## Output Format
+
+### Feature Prioritisation — [Product/Team] — [Date]
+
+**Framework Used:** [RICE / MoSCoW / ICE / Kano / Custom]
+**Scope:** [Sprint / Quarter / Release]
+**Goal being prioritised against:** [Metric or objective]
+
+[Scored table using selected framework]
+
+**Recommended Build Order:**
+1. [Feature] — [1-line rationale]
+2. [Feature] — [1-line rationale]
+3. ...
+
+**Explicitly Deprioritised:**
+- [Feature] — Reason: [brief]
+
+**Assumptions Made:**
+- [Any estimates or judgements used in scoring]
+
+---
+
+## Guidelines
+
+- Always anchor prioritisation to a specific goal or metric — never prioritise in a vacuum
+- Flag when two features have similar scores but very different risk profiles
+- If stakeholder politics are influencing prioritisation, name it explicitly and suggest separating the framework score from the final decision
+- Recommend revisiting priorities every 2 weeks minimum
+- Never produce a single-column ranked list without rationale — explain the top 3 and bottom 3 decisions
+
+## Quality Checks
+
+- [ ] Every item is scored against the same goal or metric (not different goals per item)
+- [ ] Deprioritised items are explicitly listed with reasons (not just absent from the ranked list)
+- [ ] Assumptions used in scoring are documented
+- [ ] Stakeholder politics or personal preferences are separated from framework score
+- [ ] Prioritisation is anchored to a specific scope (sprint / quarter / launch)
+
+## Anti-Patterns
+
+- [ ] Do not score items against different goals — every item in a prioritisation session must be scored against the same objective
+- [ ] Do not omit deprioritised items — explicitly listing what was cut and why is as important as the ranked list
+- [ ] Do not let stakeholder politics override framework scores without documenting the override and reason
+- [ ] Do not mix RICE, ICE, or MoSCoW scores across frameworks in a single session — pick one framework per prioritisation exercise
+- [ ] Do not treat the output as final without documenting the assumptions used in scoring — assumptions change, and the list must be revisitable